SolveAI Raises $50M from GV & Accel for Enterprise AI

SolveAI Raises $50M in AI Funding from GV and Accel to Empower Non-Developers in Building Enterprise Software

The enterprise technology world has long been divided into two camps — those who understand a business's problems deeply and those who have the technical ability to fix them. Bridging that gap has been one of the most persistent challenges facing large organizations for decades. Business teams sit on a wealth of ideas and operational insights, but they remain entirely dependent on IT departments, developer queues, or expensive third-party consultants to turn those ideas into workable software solutions. In a fast-moving market, the time and cost involved in this back-and-forth can be crippling. That is precisely the problem that London-based startup SolveAI is setting out to solve — and it has now secured some of the most recognizable names in venture capital to back its vision. In one of the most compelling AI funding news stories of early 2026, SolveAI has raised a total of $50 million across two rounds to build a platform that allows any employee, regardless of technical background, to create production-ready enterprise software simply by having a conversation with an AI.

The round comprises a $45 million Series A led by GV — formerly known as Google Ventures — alongside a $5 million pre-seed round led by Accel, one of the world's most prominent early-stage technology investors. The significance of this AI funding cannot be overstated. GV and Accel are not firms that invest lightly, and their backing of SolveAI at this early stage speaks volumes about the confidence the investor community has in both the team's vision and the size of the market opportunity they are going after. At The AI World, we see this as a landmark moment not just for SolveAI but for the broader movement toward democratizing enterprise technology development.

The Problem SolveAI Is Solving — And Why It Matters Now

To fully appreciate what SolveAI has built, it is important to understand just how broken the status quo is in enterprise software development. Large organizations — whether in manufacturing, financial services, retail, or healthcare — are drowning in operational inefficiencies. Their IT teams are chronically overstretched, handling everything from system maintenance to cybersecurity to new software requests. When a business unit needs a custom tool, they submit a ticket and wait — sometimes for months — only to receive something that may not fully address the original need.

Meanwhile, the rise of AI-powered no-code and low-code tools has offered some relief, but most of these solutions only get teams so far. They might produce a working prototype or a front-end interface, but they fall critically short when it comes to the requirements of real enterprise deployment. Production-ready enterprise software needs to be secure, compliant with company-specific governance rules, deeply integrated with existing systems like Salesforce, SAP, or Snowflake, and scalable enough to handle enterprise-level workloads. Most AI coding tools, including widely used platforms like Lovable and Claude Code, are built for speed and code acceleration rather than for the rigorous compliance and integration standards that enterprise IT departments demand.

This is the gap SolveAI occupies. The company's platform doesn't just generate code — it generates fully deployable, production-grade enterprise applications that are built to the specific architectural and compliance standards of the client organization from day one. The implications of this are enormous. For the first time, a mid-level operations manager at a manufacturing company, a compliance officer at a bank, or a supply chain analyst at a retail firm can describe what they need in plain English and receive a fully working, IT-approved software solution without ever writing a single line of code. This is not a prototype. This is not a sandbox experiment. This is real software, ready to deploy into live enterprise environments.

The Founder's Story — From Palantir to Pioneering AI Funding News

SolveAI was founded in July 2025 by Steve Basher, who spent eight years at Palantir — a company synonymous with complex, high-stakes enterprise software deployments for governments and large corporations. At Palantir, Basher developed a deep understanding of just how difficult it is to build software that meets the rigorous requirements of enterprise-grade infrastructure. He also saw firsthand how much institutional knowledge exists within organizations that never gets translated into technical solutions simply because the people who hold that knowledge lack the coding skills to build them.

That experience planted the seed for SolveAI. Basher's thesis is straightforward but powerful: the people who best understand a company's problems should be the ones empowered to solve them. They should not have to translate their ideas into technical specifications for an engineer, or wait in a months-long project queue, or budget for an expensive consultancy engagement. They should be able to describe what they need in natural language and have it built for them, reliably and securely, in a fraction of the time.

What makes Basher's journey particularly remarkable is the speed at which he has executed on this vision. Starting as a first-time solo founder, he closed SolveAI's pre-seed round entirely on his own and built the company to a 12-person team before emerging from stealth in February 2026. The fact that he was able to secure backing from Accel at the pre-seed stage and then attract GV to lead a $45 million Series A within months of founding is a testament to both the strength of the product and the quality of the vision. This AI funding news story is as much about the founder as it is about the technology.

How the Platform Works — Conversations That Build Real Software

The technical architecture behind SolveAI is what sets it apart from every other player in the no-code or AI-assisted development space. At its core, the platform uses a combination of model orchestration and what SolveAI calls "forward-deployed engineering" — a concept Basher likely refined during his years at Palantir, where similar customer-facing engineering teams work directly within client organizations to understand their systems and deploy solutions.

When a company onboards with SolveAI, the platform is not simply handed over for self-service use. SolveAI's forward-deployed engineers work closely with the client to build a deep understanding of the organization's existing technical infrastructure — its system architecture, its compliance requirements, its integration points, its security protocols, and its governance frameworks. This contextual knowledge is embedded into the platform so that every application built through natural-language conversations inherently adheres to those standards without the end user needing to think about them.

From there, the process is remarkably simple for the business user. An employee describes the tool they want in plain language — for example, "I need a dashboard that pulls our weekly manufacturing output from SAP and flags any units that fall below quality thresholds, then automatically sends a report to the relevant team leads on ServiceNow." SolveAI's platform translates that request into a full-stack application, complete with front-end interface, back-end logic, database connections, and security configurations. The resulting software is not a mock-up — it is deployable immediately on the organization's existing infrastructure, with integrations already set up for systems like Salesforce, SAP, ServiceNow, Snowflake, and GitHub.

This blend of AI-powered development and human engineering expertise is what gives SolveAI its edge. The AI handles the speed and scale of software generation, while the forward-deployed engineers ensure that the contextual intelligence fed into the platform is accurate, complete, and continuously updated as the client's systems evolve. The result is a solution that is faster than traditional development, more reliable than existing no-code tools, and more affordable than consulting-led projects.

Growth Plans and the Road Ahead for AI Funding in Enterprise Tech

With $50 million in fresh AI funding now secured, SolveAI is ready to move from a promising stealth-stage startup into a scale-up on a mission to redefine enterprise software development globally. The company has been very clear about its immediate priorities: growing the team from 12 to nearly 50 people over the course of 2026, expanding its forward-deployed engineering capacity across North America and Europe, and deepening its integrations with the corporate IT ecosystems that large enterprises depend on.

The industry verticals SolveAI is targeting in this next phase — manufacturing, retail, and financial services — are exactly the sectors where the pain of slow, expensive enterprise software development is felt most acutely. Manufacturing organizations need rapid custom tooling for supply chain management, quality control, and operational efficiency. Retail firms require fast-moving inventory management, customer data tools, and logistics platforms. Financial services companies face some of the most demanding compliance and governance requirements in any industry, making the ability to build IT-compliant software quickly a genuinely transformational capability.

From a broader perspective, SolveAI's emergence is a signal of where the AI funding landscape is heading in 2026. Investors are no longer just backing AI models or large language model infrastructure — they are backing the platforms that bring AI's capabilities into the enterprise in practical, scalable, and compliant ways. The ability to democratize software development across an entire organization, not just within IT teams, represents a multi-billion-dollar market opportunity. GV and Accel's combined backing of SolveAI suggests that they believe this company has the team, the product, and the timing to capture a significant share of that opportunity.

At The AI World, we will continue tracking SolveAI's progress as it scales out of London into global markets. This is precisely the kind of AI funding news story that illustrates how artificial intelligence is moving from being a buzzword in boardrooms to becoming the backbone of practical, day-to-day enterprise operations. The companies that figure out how to make AI work for every employee — not just the technically trained ones — will define the next era of enterprise software. SolveAI, backed by $50 million in venture capital and a founder with deep enterprise DNA, is making a very strong case to be one of those defining companies.